Approaches To Risk Assessment In Financing Borrowers Of The Digital Economy Sphere

Author(s):  
A. Pomulev
2021 ◽  
Vol 34 (04) ◽  
pp. 1388-1395
Author(s):  
Mikhail Samuilovich Gasparian ◽  
Irina Anatolievna Kiseleva ◽  
Valery Aleksandrovich Titov ◽  
Leonid Anatolyevich Olenev

The present article attempts to study the role of financial risk management in the digital economy era. The main purpose of the article is to identify the main patterns that determine the features of risk assessment in business as the main element contributing to the achievement of economic security of the organization, as well as to carry out a comparative analysis of risk assessment and risk management methods in the context of digitalization. The contemporary economic analysis employs various risk management methods. Digitalization also creates new risks, most of which are related to cybercrime and fraud on the Internet. The most effective ways to reduce risk in the context of instability of the economic and political situation in Russia are the scenarios method and the method of analyzing hierarchies, as well as diversification, i.e. the distribution of risks among several business participants. The article discusses various types of economic risks, risk analysis, and assessment methods, as well as risk neutralizing strategies.


2021 ◽  
Vol 2 (2) ◽  
pp. 126-129
Author(s):  
L. S. KOROBEINIKOVA ◽  

The development of contracting system in Russia in the context of the digital economy and market inte-gration into the Unified Information system gives rise to the issues of detection and assessment of corruption risks in the sphere of public procurement. Identification of corruption risks and their ranking by degree of significance are impossible without determining the specifics of disclosing information on the implementation of certain procurement processes and systematizing the elements of information support for the analysis and assessment of the risk level.


2021 ◽  
Vol 273 ◽  
pp. 08064
Author(s):  
Mikhail Chernyakov ◽  
Maria Chernyakova ◽  
Irina Chernyakova ◽  
Sergey Gromov

In recent years, there has been increasing interest in the introduction of digital technologies in various areas of life and activity, including the agro-industrial complex. However, few studies pay attention to the issue of risk assessment that accompanies this process. It is not known how to methodically competently and quickly analyze possible risks and assess the prospects of the organization for transformation into the digital economy. The aim of the work is to develop an effective methodology for assessing agricultural risks and on their basis to determine the prospects of organizations in the direction of digital transformation. To explore the possibilities of digitalization, we use hierarchical and digital analysis, as well as operations of mathematical logic and set theory. The results of the study indicate that the evaluation method can be divided into 8 blocks, and its algorithm consists of five stages. The proposed methodology will contribute to the formation of more effective organizational and economic regulators for the transformation of economic entities into a digital economy through a preventive assessment of agricultural risks and, taking them into account, the readiness for digitalization of state authorities, economic entities and the population.


Author(s):  
Clare Brindley ◽  
Bob Ritchie

This chapter proposes that the initial perceptions of uncertainty and risk relating to decision making are unlikely to be modified irrespective of the quantity or quality of the information transmitted and processed by the decision maker. It argues that initial risk perceptions and decisions are fairly robust even when confronted with contradictory information. The chapter begins by offering definitions of the key terms such as risk, uncertainty, and the components of the digital economy. The authors then provide an overview of risk assessment and associated management processes before moving onto an examination of the contribution of intelligence and information to risk resolution. A case scenario provides a practical illustration of the issues raised.


Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
...  

We present an updated design process for adapting and integrating existing cyber risk assessment approaches for impact assessment for the risk from IoT to the digital economy. The new design process includes a set of changes to the original standards (e.g. NIST) that are adapted for the IoT cyber risk in this paper. This paper also presents a new framework for impact assessment of IoT cyber risk, specific for the digital economy.


Author(s):  
Petar Radanliev ◽  
Dave De Roure ◽  
Jason R.C. Nurse ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
...  

We present an updated design process for adapting and integrating existing cyber risk assessment approaches for impact assessment for the risk from IoT to the digital economy. The new design process includes a set of changes to the original standards (e.g. NIST) that are adapted for the IoT cyber risk in this paper. This paper also presents a new framework for impact assessment of IoT cyber risk, specific for the digital economy.


Author(s):  
Mark A Gregory

Papers in the December 2020 issue of the Journal include a discussion about the parlous state of television broadcasting in Australia, 6G and the future of the National Broadband Network. The digital economy is a focus, with papers on tax risk assessment and assurance and the use of e-commerce by MSEs in Indonesia. Global telecommunications markets are struggling to move beyond the 20th century thinking and ideology-driven decision making that pervades many governments. Telecommunications use has surged as work from home has become normalised, yet the digital divide and second-rate outcomes abound as the result of poor decision making by government. Dr Leith Campbell takes over as the Managing Editor in January 2021. The Journal welcomes contributions on telecommunications and the digital economy.


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